Abstract
We usually study more than one variable at a time. When the variables are continuous, and one is clearly a response variable and the others are predictor variables, we usually plot the variables and then attempt to fit a model to the plotted points. With one continuous predictor, the first model we attempt is a straight line; with two or more continuous predictors, we attempt a plane. We plot the model, the residuals from the model, and various diagnostics of the quality of the fit.
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© 2004 Springer Science+Business Media New York
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Heiberger, R.M., Holland, B. (2004). Linear Regression by Least Squares. In: Statistical Analysis and Data Display. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4284-8_8
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DOI: https://doi.org/10.1007/978-1-4757-4284-8_8
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2320-2
Online ISBN: 978-1-4757-4284-8
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